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Open AccessArticle

An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach

LS2N, UMR 6004, École Centrale de Nantes, 44300 Nantes, France
LAE, AME, IFSTTAR, 44340 Bouguenais, France
ETIS, UMR 8051, Université Paris Seine, Université de Cergy-Pontoise, ENSEA, CNRS, 95000 Cergy-Pontoise, France
Author to whom correspondence should be addressed.
Sensors 2017, 17(12), 2758;
Received: 17 October 2017 / Revised: 20 November 2017 / Accepted: 24 November 2017 / Published: 29 November 2017
(This article belongs to the Special Issue Smart Communication Protocols and Algorithms for Sensor Networks)
The spreading of urban areas and the growth of human population worldwide raise societal and environmental concerns. To better address these concerns, the monitoring of the acoustic environment in urban as well as rural or wilderness areas is an important matter. Building on the recent development of low cost hardware acoustic sensors, we propose in this paper to consider a sensor grid approach to tackle this issue. In this kind of approach, the crucial question is the nature of the data that are transmitted from the sensors to the processing and archival servers. To this end, we propose an efficient audio coding scheme based on third octave band spectral representation that allows: (1) the estimation of standard acoustic indicators; and (2) the recognition of acoustic events at state-of-the-art performance rate. The former is useful to provide quantitative information about the acoustic environment, while the latter is useful to gather qualitative information and build perceptually motivated indicators using for example the emergence of a given sound source. The coding scheme is also demonstrated to transmit spectrally encoded data that, reverted to the time domain using state-of-the-art techniques, are not intelligible, thus protecting the privacy of citizens. View Full-Text
Keywords: acoustic monitoring; audio encoding acoustic monitoring; audio encoding
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Gontier, F.; Lagrange, M.; Aumond, P.; Can, A.; Lavandier, C. An Efficient Audio Coding Scheme for Quantitative and Qualitative Large Scale Acoustic Monitoring Using the Sensor Grid Approach. Sensors 2017, 17, 2758.

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